Four Ways that Enterprises Deploy LLMs
Enterprises can jumpstart their LLM journey by considering using four different LLM deployment approaches that best fit their business’s AI strategy.
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We’re cutting our prices in half
The price of public models is being cut in half, and soon we’ll start charging new users for setup and idle time on private models.
Safety & Alignment
Using GPT-4 for content moderation
We use GPT-4 for content policy development and content moderation decisions, enabling more consistent labeling, a faster feedback loop for policy refinement, and less involvement from human moderators.
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Accelerating the Production of AI Solutions with Fiddler and Databricks Integration
The Fiddler and Databricks integration helps companies accelerate the production of AI solutions and streamline their end-to-end MLOps workflow.
concepts
Distance Metrics in Vector Search
Understand the distance metrics that power similarity search: cosine similarity, dot product, Euclidean, Manhattan, and Hamming. Learn how to choose the right metric for your vector search application.
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Streaming output for language models
Our API now supports server-sent event streams for language models. Learn how to use them to make your apps more responsive.
data-science, deep-learning, llm, Machine Learning
The NeurIPS 2023 LLM Efficiency Challenge Starter Guide
Large language models (LLMs) offer one of the most interesting opportunities for developing more efficient training methods. A few weeks ago, the NeurIPS…
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Fiddler Report Generator for AI Risk and Governance
The Fiddler Report Generator extends the Fiddler AI Observability platform for periodic MRM and compliance reviews to decrease AI Risk and increase AI governance.